TABLE OF CONTENTS Nada Lavra?
Jo ef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia,
Nova Gorica Polytechnic, Vipavska 13, 5000 Nova Gorica, Slovenia
Bla Zupan
Faculty of Computer and Information Science, University of Ljubljana, Tr a ka 25, 1000 Ljubljana, Slovenia
Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza,
Houston, TX 77030, USA
| Abstract | Extensive amounts of data stored in medical databases require the development of specialized tools for accessing the data, data analysis, knowledge discovery, and effective use of stored knowledge and data. This chapter focuses on Data Mining methods and tools for knowledge discovery. The chapter sketches the selected Data Mining techniques, and illustrates their applicability to medical diagnostic and prognostic problems. |
| Keywords: | Data Mining in Medicine, Inductive Logic Programming, Decision Trees, Rule Induction, Case-based Reasoning, Instance-based Learning, Supervised Learning, Neural Networks |
Extensive amounts of knowledge and data stored in medical databases require the development of specialized tools for accessing the data, data analysis, knowledge discovery, and effective use of stored knowledge and data, since the increase in data volume...
